Journals and Conferences

In this paper an approach for personal biometric identification is presented based on extraction of ECG features and classification with RBFNN. We perform denoising and segmentation on the input… (More)

The considered Human-Computer interface use Electroencephalography (EEG) activity or other electrophysiological measures of brain functions as new non-muscular channels for control and communication… (More)

This paper presents an approach for automated estimation of human emotions from electroencephalogram data. The used features are principally the Hjorth parameters calculated for theta, alpha, beta… (More)

Capturing the type of physical activity a person is performing thorough his daily life, can inspire the development of new and innovative applications. Examples include monitoring patients' health… (More)

This paper presents an approach for automated staging of the human sleep. It is based on analysis of two channel electroencephalogram and an electrooculogram. The classifier is trained with two… (More)

An approach is presented in this paper for automated estimation of human emotions from combination of multimodal data: electroencephalogram and facial images. The used EEG features are the Hjorth… (More)